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2019 | OriginalPaper | Chapter

Multidimensional Neuroimaging Processing in ReCaS Datacenter

Authors : Angela Lombardi, Eufemia Lella, Nicola Amoroso, Domenico Diacono, Alfonso Monaco, Roberto Bellotti, Sabina Tangaro

Published in: Internet and Distributed Computing Systems

Publisher: Springer International Publishing

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Abstract

In the last decade, a large amount of neuroimaging datasets became publicly available on different archives, so there is an increasing need to manage heterogeneous data, aggregate and process them by means of large-scale computational resources. ReCaS datacenter offers the most important features to manage big datasets, process them, store results in efficient manner and make all the pipeline steps available for reproducible data analysis. Here, we present a scientific computing environment in ReCaS datacenter to deal with common problems of large-scale neuroimaging processing. We show the general architecture of the datacenter and the main steps to perform multidimensional neuroimaging processing.

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Footnotes
Literature
1.
Amoroso, N., et al.: Medical physics applications in Bari ReCaS farm. In: High Performance Scientific Computing Using Distributed Infrastructures: Results and Scientific Applications Derived from the Italian PON ReCaS Project, pp. 271–278. World Scientific (2017)
2.
Behrens, T.E., Berg, H.J., Jbabdi, S., Rushworth, M.F., Woolrich, M.W.: Probabilistic diffusion tractography with multiple fibre orientations: what can we gain? Neuroimage 34(1), 144–155 (2007)CrossRef
3.
Cox, R.W.: AFNI: software for analysis and visualization of functional magnetic resonance neuroimages. Comput. Biomed. Res. 29(3), 162–173 (1996)CrossRef
4.
Craddock, C., et al.: Towards automated analysis of connectomes: the configurable pipeline for the analysis of connectomes (C-PAC). Front Neuroinform. 42 (2013)
5.
Di Martino, A., et al.: The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism. Mol. Psychiatry 19(6), 659 (2014) CrossRef
6.
Dinov, I., et al.: Efficient, distributed and interactive neuroimaging data analysis using the LONI pipeline. Front. Neuroinform. 3, 22 (2009)CrossRef
7.
Dinov, I.D., et al.: High-throughput neuroimaging-genetics computational infrastructure. Front. Neuroinform. 8, 41 (2014)CrossRef
8.
9.
Gorgolewski, K.J., et al.: The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments. Sci. Data 3, 160044 (2016)CrossRef
10.
Jack Jr., C.R., et al.: The Alzheimer’s disease neuroimaging initiative (ADNI): MRI methods. J. Magn. Reson. Imaging: Off. J. Int. Soc. Magn. Reson. Med. 27(4), 685–691 (2008)CrossRef
11.
Jenkinson, M., Beckmann, C.F., Behrens, T.E., Woolrich, M.W., Smith, S.M.: FSL. Neuroimage 62(2), 782–790 (2012)CrossRef
12.
Lella, E., et al.: Communicability characterization of structural DWI subcortical networks in Alzheimer’s disease. Entropy 21(5), 475 (2019)CrossRef
13.
Lella, E., et al.: Communicability disruption in Alzheimer’s diseaseconnectivity networks. J. Complex Netw. 7(1), 83–100 (2018)MathSciNetCrossRef
14.
Lombardi, A., et al.: Modelling cognitive loads in schizophrenia by means of new functional dynamic indexes. NeuroImage 195, 150–164 (2019)CrossRef
15.
Maglietta, R., et al.: Automated hippocampal segmentation in 3D MRI using random undersampling with boosting algorithm. Pattern Anal. Appl. 19(2), 579–591 (2016)MathSciNetCrossRef
16.
Penny, W.D., Friston, K.J., Ashburner, J.T., Kiebel, S.J., Nichols, T.E.: Statistical Parametric Mapping: The Analysis of Functional Brain Images. Elsevier, Amsterdam (2011)
17.
Poldrack, R.A., Gorgolewski, K.J.: Making big data open: data sharing in neuroimaging. Nat. Neurosci. 17(11), 1510 (2014)CrossRef
18.
Tournier, J.D., Calamante, F., Connelly, A.: MRtrix: diffusion tractography in crossing fiber regions. Int. J. Imaging Syst. Technol. 22(1), 53–66 (2012)CrossRef
19.
Van Horn, J.D., Toga, A.W.: Human neuroimaging as a “big data” science. Brain Imaging Behav. 8(2), 323–331 (2014)CrossRef
20.
Zuo, X.N., et al.: An open science resource for establishing reliability and reproducibility in functional connectomics. Sci. Data 1, 140049 (2014)CrossRef
Metadata
Title
Multidimensional Neuroimaging Processing in ReCaS Datacenter
Authors
Angela Lombardi
Eufemia Lella
Nicola Amoroso
Domenico Diacono
Alfonso Monaco
Roberto Bellotti
Sabina Tangaro
Copyright Year
2019
Book
Internet and Distributed Computing Systems

Print ISBN: 978-3-030-34913-4

Electronic ISBN: 978-3-030-34914-1

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-34914-1_44

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